Redirecting
New #groundwater #microbiome research from the Slovenian Dinaric #Karst reveals diversity of viruses, bacteria, and fungi across karst aquifers, expanding understanding of subterranean #biodiversity and ecosystem processesπ§¬π§
π https://doi.org/10.1016/j.ecoenv.2026.119890
π€ EVBC: Denis Kutnjak
11.03.2026 14:26
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π’ Registration for ViBioM 2026 is now open!
Join us in Vilnius this May for ViBioM 2026 and connect with researchers working at the intersection of virology and bioinformatics.
ποΈ Registration deadline: 30 April
π evbc.uni-jena.de/events/vibio...
#ViBioM2026 #virology #bioinformatics
11.03.2026 11:29
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CRESSENT: a bioinformatics toolkit to explore and improve ssDNA virus annotation
ssDNA viruses are important components of diverse ecosystems; however, it remains challenging to systematically identify and classify them. This is partly due to their broad host range and resulting genomic diversity, structure and rapid evolutionary rates. In addition, distinguishing genuine ssDNA genomes from contaminating sequences in metagenomic datasets (e.g. from commercial kits) has been an unresolved issue for years. Here, we present CRESSENT (CRESS-DNA Extended aNnotation Toolkit), a comprehensive and modular bioinformatic pipeline focused on ssDNA virus βgenome-to-analysisβ and annotation. The pipeline integrates multiple functionalities organized into several modules: sequence dereplication, decontamination, phylogenetic analysis, motif discovery, stem-loop structure prediction and recombination detection. Each module can be used independently or in combination with others, allowing researchers to customize their analysis workflow. With this tool, researchers can comprehensively and systematically include ssDNA viruses in their viromics workflows and facilitate comparative genomic studies, which are often limited to dsDNA viruses, therefore leaving behind a crucial component of the microbiome community under study. Benchmarking analyses demonstrated that CRESSENT efficiently processes ssDNA virus datasets of varying scales, completing small family-level analyses within minutes and moderate comparative genomics studies within hours using standard computing resources. Its modular, parallelized design ensures scalability and low memory usage, making it accessible to research groups with diverse computational capacities.
π¬ New #ssDNA virus annotation toolkit CRESSENT accelerates #viromics & ecosystem virus discovery with modular, scalable analyses for decontamination, structuring & phylogeny. π§¬π»#Virology #Bioinformatics #Metagenomics
π https://doi.org/10.1099/mgen.0.001632
π€ EVBC member: Matthew Sullivan
10.03.2026 13:53
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Bacteriophages mobilize bacterial defense systems via lateral transduction
Bacteriophages and PICIs spread bacterial defenses via lateral transduction, shaping microbial immunity and pathogen evolution.
Bacteriophages exploit lateral transduction to mobilize bacterial antiphage defense systems, reshaping how immune genes spread and influence pathogen evolution. π¦ π#Microbiology #Bacteriophage #HorizontalGeneTransfer #Evolution
π https://doi.org/10.1126/sciadv.adx5749
π€ EVBC member: JosΓ© R. PenadΓ©s
09.03.2026 12:32
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β°Abstract submission for #ViBioM2026 is open until midnight tonight (00:00 CET) - Don't miss your chance to present a talk at the International Virus Bioinformatics Meeting! π€π¦ π§¬π»
π evbc.uni-jena.de/events/vibio...
#virology #bioinformatics
06.03.2026 08:25
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Community-acquired pneumonia in diabetic patients is characterised by a distinct pathogen spectrum and enhanced inflammation: results from CAPNETZ, a prospective observational cohort study - Infection
Purpose Diabetes mellitus (DM) is a relevant risk factor for enhanced susceptibility to and adverse outcomes in infections, including community-acquired pneumonia (CAP). We aimed to characterise clinical outcomes, inflammatory and organ failure markers and microbial etiologies in diabetic (DM+) versus non-diabetic (DMβ) patients in a European CAP cohort. Methods Comparative analyses using data from the CAPNETZ multicenter, prospective, observational study including 13,611 patients with CAP enrolled between 2002β2022, with and without a history of DM, were conducted. Results Seventeen percent (2310/13,611) had a history of DM (DM+). Compared to DMβ patients, DM+ patients had a higher 180 days mortality rate following CAP (13% (292/2310) vs. 7% (766/11,301), pβ<β0.0001) and higher C-reactive protein and leucocyte counts (median CRP 97 mg/L (IQR: 31β202) vs. 86 mg/L (IQR: 24β190), pβ<β0.0001; median leucocyte count 12/nl (IQR: 9β16)vs. 11/nl (IQR: 8β15), pβ<β0.0001). Pathogens were identified in 23.4% (540/2310) of the DM+ and 21.7% (2414/11,301) of the DMβ patients (pβ=β0.03), respectively. Overall, pathogen distribution differed between the two groups, with higher frequencies of Enterobacteriaceae in the DM+ group (13.0% (70/539) vs. 8.0% (194/2414), padjβ<β0.01). Conclusions CAP in DM+ is characterised by a distinct microbial spectrum and enhanced inflammation. While further studies are needed to elucidate the clinical impact of our findings, we recommend early and comprehensive CAP pathogen testing in DM+ patients.
Prospective cohort data from over 13,600 CAP patients show that individuals with #diabetes have a distinct #pathogen spectrum, heightened inflammatory responses, and worse outcomes compared to non diabetic patients. ππ #Pneumonia
π https://doi.org/10.1007/s15010-025-02659-w
π€ EVBC: Mathias Pletz
03.03.2026 08:03
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π’Join us for the next ECR #Viromics Webinar
"Scalable annotation and curation of auxiliary viral genes with CheckAMG"
βποΈJames Kosmopoulos, Anantharaman Lab, University of Wisconsin-Madison, USA
ποΈ11 March 2026, 4 PM CET
πOnline/Zoom (register for login details)
π evbc.uni-jena.de/events/ecr-v...
02.03.2026 15:27
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First full-genome alignment representative for the genus Pestivirus
A monthly journal publishing high-quality, peer-reviewed research on all topics related to RNA and its metabolism in all organisms
First full genome multiple sequence alignment for the genus #Pestivirus reveals conserved #RNA structures and phylogenetic patterns across all known species, providing a key resource for #virus RNA analysisπ§¬
π http://www.rnajournal.org/cgi/doi/10.1261/rna.080732.125
π€EVBC: Sandra Triebel, Manja Marz
02.03.2026 07:11
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π’ Submit your abstract for ViBioM 2026 in Vilnius!!
Share your work and be part of the International Virus Bioinformatics Meeting on 18-20 May!
#virology #bioinformatics #ViBioM2026
π€ Talk Abstract Deadline: 6 March 2026
π Poster Title Deadline: 17 April 2026
π evbc.uni-jena.de/events/vibio...
27.02.2026 16:32
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π Delighted to share the 100th EVBC Newsletter of February 2026, featuring the π newest EVBC publications, π job vacancies, π§ virus bioinformatics tools, π
upcoming events, and info for ViBioM 2026!
π evbc.uni-jena.de/evbc-newslet...
26.02.2026 14:59
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π’ Join Us for the Next Viruses in silico Lecture!
ποΈ SIRIUS and beyond: Turning tandem mass spectra into metabolite structure information
ποΈ 26 February 2026 π 4 PM CET
π¨βπ¬ Sebastian BΓΆcker (@uni-jena.de)
π Zoom - Register to receive the login details
π https://evbc.uni-jena.de/events/viruses-in-silico/
09.02.2026 16:16
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A new NAR Genomics and Bioinformatics resource introduces SquiDBase, a community repository of raw #nanopore #microbiome sequencing data, supporting open access and broader utility for bioinformatics and comparative analyses. #Genomics
π https://doi.org/10.1093/nargab/lqaf213
π€ EVBC: Daan Jansen
13.02.2026 16:43
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π’ Join Us for the Next Viruses in silico Lecture!
ποΈ SIRIUS and beyond: Turning tandem mass spectra into metabolite structure information
ποΈ 26 February 2026 π 4 PM CET
π¨βπ¬ Sebastian BΓΆcker (@uni-jena.de)
π Zoom - Register to receive the login details
π https://evbc.uni-jena.de/events/viruses-in-silico/
09.02.2026 16:16
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RNA virus genomes from centuries- to millennia-old AdΓ©lie penguin mummies
Direct studies of long-term RNA virus evolution are largely limited to chemically-fixed specimens from natural history and pathology museums collected over the past two centuries. Detecting genomic traces of RNA viruses in older, buried remains is generally considered highly unlikely. The cold, dry conditions of Antarctica may represent an exception. Under such circumstances, natural mummification of penguins and sealsβanimals that form large colonies where RNA viruses circulateβis common and may facilitate the recovery of RNA virus genomes. Here, we show that AdΓ©lie penguin ( Pygoscelis adeliae ) mummies, ranging in age from recent to nearly two millennia, indeed contain fragments of such ancient viral genomes. Metatranscriptomic analyses yielded near-complete genome sequences of a picornavirus ( Megrivirus epengu ) and a rotavirus D ( Rotavirus deltagastroenteritidis ) from relatively recent specimens. We further retrieved rotavirus D sequences from a 280-year-old individual and a near-complete rotavirus G ( Rotavirus gammagastroenteritidis ) genome from a 1900-year-old one. These findings pave the way to direct studies of RNA virus evolution across millennia.
### Competing Interest Statement
The authors have declared no competing interest.
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Transregio Collaborative Research Centre 410 βWETSCAPES2.0β, Project-ID 531801029 β TRR 410
National Science Foundation, ANT 1443386, OPP 9909274
US National Institutes of Health, R01 AI153044
Research Foundation - Flanders (βFonds voor Wetenschappelijk Onderzoek - Vlaanderenβ, G0D5117N, G0B9317N, G051322N
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Germany's Excellence Strategy - EXC 2155 - project number 390874280
Helmholtz Associationβs Initiative and Network Fund, KA1-Co-02 βCoViPaβ
Preprint reveals that centuries-/millennia-old Adelie penguin mummies preserve near-complete RNA virus genomes, enabling the study of long-term #RNA #virus #evolution in Antarctic remains.π§¬βοΈ
π https://doi.org/10.64898/2025.12.17.693957
π€ EVBC: C. Lauber, M. A. Suchard, P. Lemey, S. Calvignac-Spencer
07.02.2026 10:57
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π’Join us for the next ECR #Viromics Webinar
"How viral evolution is shaped during long-term infections of immune-compromised hosts"
βποΈJonas Fuchs, University Hospital Freiburg, Germany
ποΈ11 Feb 2026, 4 PM CET
πOnline/Zoom (register for login details)
π evbc.uni-jena.de/events/ecr-v...
22.01.2026 06:58
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New review highlights how #MachineLearning and #ArtificialIntelligence models are transforming mitotic checkpoint modelling, from predictive biology to clinical precision medicine. π€π§¬βοΈ #CellBiology #Bioinformatics
π https://doi.org/10.1093/bib/bbaf729
π€ EVBC member: Bashar Ibrahim
06.02.2026 10:07
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New study reveals how glycyl-tRNA synthetase binding boosts Mengovirus RNA #translation, offering fresh insights into RNAβprotein interactions and virus gene expression. π#Virology #RNAbiology
π https://doi.org/10.1093/nar/gkaf1451
π€ EVBC: Markus Fricke, Muriel Ritsch, Manja Marz, Michael Niepmann
05.02.2026 09:10
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This paper presents torchtree, a flexible Python/PyTorch framework for #phylogenetic model development and inference using variational Bayes and other gradient-based methods. ππ³ #BayesianInference #PyTorch #Bioinformatics
π https://doi.org/10.1093/sysbio/syaf047
π€ EVBC member: Marc A. Suchard
04.02.2026 08:19
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Introducing ViMOP, a user friendly #nanopore sequencing pipeline for untargeted #VirusGenome assembly that works with clinical and field data to deliver high quality consensus genomes with minimal setup.π¦ π¬ #Bioinformatics
π https://doi.org/10.1093/bioinformatics/btaf687
π€ EVBC member: Philippe Lemey
01.02.2026 10:32
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Transcriptome mining reveals diversity and evolution of circulating and endogenous amphibian retroviruses - Retrovirology
Background The evolutionary history of retroviruses and their impact on vertebrate evolution remains poorly understood, particularly in non-mammalian hosts. In this study, we explore retroviruses associated with Amphibia through analysis of 169 RNA sequencing datasets from 102 amphibian species. Using a BLAST-based approach, we identified retroviral transcripts from assembled transcriptomes and phylogenetically characterise both their pol and env regions to elucidate their evolutionary history. Results We identified the transcription of 18 novel and two previously described retroviruses with closest relatives in gammaretrovirus, epsilonretrovirus, betaretrovirus and spumaretrovirinae. Despite their differing pol phylogenies, we found that all amphibian retroviruses belong to the gamma-type envelope group (GTE). This suggests a common selection pressure for amphibian retroviruses to retain GTEs. Within these GTEs we also observed a new clade of alpharetrovirus-like envelopes in amphibians which form a sister clade to avian alpharetrovirus envelopes. Furthermore, we observe correlations between amphibian taxonomical order and retroviral diversity, with Gymnophiona (caecilians) harbouring the widest diversity of retroviruses whilst Anura (frogs and toads) harbour the fewest. Through mapping these transcribed retroviruses to their respective genomes (seven available) supplemented with observing ORF intactness, we determined that 14 of the 20 retroviruses are likely endogenous in origin yet are still transcribed in many amphibian tissues. These amphibian endogenous retroviruses (ERVs) have high genomic copy numbers: most (5/7) ERVs investigated have >β100 copies, and one of which has 9,219 integrations within the Ichthyophis bannanicus caecilian genome. This high retroviral load in amphibian genomes may suggest that these retroviruses have low pathogenicity, or may reflect a lack of transposon control mechanisms in amphibian cells. Conclusions Through the characterisation of metatranscriptomic and genomic data from retroviruses in this study, we provide insights into their evolution in amphibians and exemplify the diversity of Retroviridae in vertebrate genomes. The identification of novel retroviral clades, widespread transcription of endogenous retroviruses in amphibians and abundance of ERV copies suggests that Retroviridae have played a significant role in amphibian evolution.
New study uncovers extensive diversity of circulating and endogenous #amphibian #retroviruses, identifying 20 retrovirus transcripts across 102 species, revealing deep evolutionary patterns in vertebrate hosts.π¦π§¬#VirusEvolution
π https://doi.org/10.1186/s12977-025-00669-y
π€ EVBC member: Emma Harding
30.01.2026 13:08
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